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Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance.
Sammut, Eva C; Villa, Adriana D M; Di Giovine, Gabriella; Dancy, Luke; Bosio, Filippo; Gibbs, Thomas; Jeyabraba, Swarna; Schwenke, Susanne; Williams, Steven E; Marber, Michael; Alfakih, Khaled; Ismail, Tevfik F; Razavi, Reza; Chiribiri, Amedeo.
Affiliation
  • Sammut EC; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Bristol Heart Institute, Bristol, United Kingdom.
  • Villa ADM; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Di Giovine G; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Dancy L; Department of Cardiology, King's College Hospital, London, United Kingdom.
  • Bosio F; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Gibbs T; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Jeyabraba S; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Schwenke S; SCOSSiS Statistical Consulting, Berlin, Germany.
  • Williams SE; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Marber M; Cardiovascular Division, King's College London, London, United Kingdom.
  • Alfakih K; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Ismail TF; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Razavi R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Chiribiri A; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom. Electronic address: amedeo.chiribiri@kcl.ac.uk.
JACC Cardiovasc Imaging ; 11(5): 686-694, 2018 05.
Article in En | MEDLINE | ID: mdl-29153572
OBJECTIVES: This study sought to evaluate the prognostic usefulness of visual and quantitative perfusion cardiac magnetic resonance (CMR) ischemic burden in an unselected group of patients and to assess the validity of consensus-based ischemic burden thresholds extrapolated from nuclear studies. BACKGROUND: There are limited data on the prognostic value of assessing myocardial ischemic burden by CMR, and there are none using quantitative perfusion analysis. METHODS: Patients with suspected coronary artery disease referred for adenosine-stress perfusion CMR were included (n = 395; 70% male; age 58 ± 13 years). The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, aborted sudden death, and revascularization after 90 days. Perfusion scans were assessed visually and with quantitative analysis. Cross-validated Cox regression analysis and net reclassification improvement were used to assess the incremental prognostic value of visual or quantitative perfusion analysis over a baseline clinical model, initially as continuous covariates, then using accepted thresholds of ≥2 segments or ≥10% myocardium. RESULTS: After a median 460 days (interquartile range: 190 to 869 days) follow-up, 52 patients reached the primary endpoint. At 2 years, the addition of ischemic burden was found to increase prognostic value over a baseline model of age, sex, and late gadolinium enhancement (baseline model area under the curve [AUC]: 0.75; visual AUC: 0.84; quantitative AUC: 0.85). Dichotomized quantitative ischemic burden performed better than visual assessment (net reclassification improvement 0.043 vs. 0.003 against baseline model). CONCLUSIONS: This study was the first to address the prognostic benefit of quantitative analysis of perfusion CMR and to support the use of consensus-based ischemic burden thresholds by perfusion CMR for prognostic evaluation of patients with suspected coronary artery disease. Quantitative analysis provided incremental prognostic value to visual assessment and established risk factors, potentially representing an important step forward in the translation of quantitative CMR perfusion analysis to the clinical setting.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vasodilator Agents / Coronary Artery Disease / Adenosine / Magnetic Resonance Imaging, Cine / Coronary Circulation / Myocardial Perfusion Imaging Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: JACC Cardiovasc Imaging Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2018 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vasodilator Agents / Coronary Artery Disease / Adenosine / Magnetic Resonance Imaging, Cine / Coronary Circulation / Myocardial Perfusion Imaging Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: JACC Cardiovasc Imaging Journal subject: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Year: 2018 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos